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Radical Ai Jobs (NOW HIRING)

Radical AI

Software Engineer

New York, NY · On-site

$210K - $265K/yr

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run ...

Radical AI

Director of Software Engineering

New York, NY · On-site

$237K - $350K/yr

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run ...

AlleyCorp

Director of Software Engineering

Manhattan, NY · On-site

$237 - $350/hr

Overview Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to ...

Radical Numerics

Marketing Associate

San Francisco, CA · On-site

$70 - $90/hr

About Us Radical Numerics is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering. Our team created Evo ...

Infor

HR Business Partner - Technology

Atlanta, GA · On-site

In this position, you will report to the Sr HR Director, and partner directly with our software development organization as it navigates radical, AI-enabled change. You will be a Strategic HR ...

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How much do radical ai jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for radical ai in the United States is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $62.74 per hour, depending on experience, location, and employer.

What is a Radical AI?

A Radical AI refers to artificial intelligence systems that go beyond conventional approaches, often challenging existing social, ethical, and technical norms. Radical AI can involve reimagining how AI is designed, implemented, or governed to promote fairness, inclusivity, and transformative change. This concept often includes critical perspectives on power, bias, and societal impact, seeking to create AI technologies that serve the broader public good rather than just commercial interests. Radical AI is also associated with interdisciplinary research and activism, focusing on how AI can be used as a tool for social justice.

What are some common challenges faced when working in a Radical AI research and development team?

Professionals in Radical AI often tackle complex, open-ended problems that have no clear-cut solutions, which can be both intellectually stimulating and challenging. Collaborating with multidisciplinary experts—ranging from ethicists to engineers—requires strong communication skills and adaptability. Additionally, keeping up with rapid advancements in AI technology and ensuring that research aligns with ethical standards can be demanding. The work environment is typically highly innovative and fast-paced, with frequent brainstorming sessions and iterative project cycles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence (AI) engineer, and why are they important?

To thrive as an AI Engineer, you need strong skills in programming (such as Python or Java), mathematics, statistics, and a relevant degree in computer science, engineering, or a related field. Experience with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and certifications in AI or data science are highly beneficial. Problem-solving, effective communication, and adaptability are crucial soft skills for collaborating with multidisciplinary teams and translating complex concepts into practical solutions. These abilities ensure the development of robust AI systems that address real-world challenges efficiently and ethically.

What is the difference between Radical Ai vs Data Scientist?

AspectRadical AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related field; experience with AI frameworksDegree in Computer Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentTech companies, AI startups, research labsCorporate, consulting firms, research institutions
Industry UsageDeveloping AI solutions, machine learning modelsAnalyzing data, building predictive models, data analysis

Radical Ai professionals focus on creating advanced AI systems and machine learning models, often working in innovative tech environments. Data Scientists analyze data to extract insights and build models but may not specialize solely in AI development. While both roles require programming skills and a background in data or AI, Radical Ai roles are more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

What cities are hiring for Radical Ai jobs?

Cities with the most Radical Ai job openings:

What are the most commonly searched types of Radical Ai jobs?

The most popular types of Radical Ai jobs are:

What states have the most Radical Ai jobs?

States with the most job openings for Radical Ai jobs include:

What job categories do people searching Radical Ai jobs look for?

The top searched job categories for Radical Ai jobs are:

Radical Ai jobs near you
Infographic showing various Radical Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $117,282 per year, or $56.4 per hour.

Software Engineer

Radical AI

New York, NY • On-site

$210K - $265K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze results, and iterate-continuously, without human bottlenecks. For industries like aerospace, automotive, defense, energy, manufacturing, semiconductors, and space, that means breakthroughs in weeks instead of years.

The Role
This is a generalist software engineering role on the team building the core platform that powers our autonomous lab. Depending on where you plug in, you might own backend services, agent tooling, data and orchestration pipelines, internal platforms, or the infrastructure that keeps our systems observable and reliable in production.
 
What's non-negotiable: strong systems thinking, production instincts, and the ability to contribute across the stack. We're building software that controls and monitors physical systems in the real world - the bar for correctness and reliability is high.
 
We work across a deeply cross-disciplinary domain (robotics, ML, experimental automation), and one near-term priority involves hybrid cloud/on-prem deployments in customer environments. Engineers who've navigated those constraints will hit the ground running.
What You'll Work On
  • Lab backend: experiment definitions, sample path-planning, long running durable task execution
  • Data backend: database schemas, migrations, ETL pipelines, object storage + partition design
  • Internal platforms: developer tooling, SDKs, shared services, service templates
  • Observability and reliability: structured logs, metrics, tracing, production debugging (OpenTelemetry, Prometheus/Grafana)
  • Hybrid infrastructure: cloud + on-prem, containerization, orchestration, infrastructure-as-code
  • Agent capabilities and tooling: API integrations, code execution, scientific literature retrieval, workflow automation
  • Scientific workflow orchestration: Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency
  • Data pipelines for ingesting, transforming, and serving data to models and LLMs
What We're Looking For
  • 5-6+ years of production software engineering experience; strong enough to design, build, and ship end-to-end
  • Fluency in Go and/or Python; additional stack experience (TypeScript, Rust) is welcome
  • Deep comfort with distributed systems: timeouts, retries, idempotency, partial failure, dead-letter queues, safe rollback
  • Experience with concurrent and asynchronous programming - event loops, cancellation semantics, bounded queues, task orchestration under failure
  • Solid networking fundamentals (especially important for potential on-prem deployment contexts)
  • Containerization and cloud deployment experience (Kubernetes, AWS); comfort debugging Linux systems
  • High ownership: you find problems before they find users and raise the bar for quality
Nice to have
  • Experience with agentic systems or LLM workflows (tool-calling, context management, PydanticAI, LangChain)
  • Experience with enterprise self-hosted storage solutions (Ceph/Rook, Longhorn, WEKA, VAST, TrueNAS)
  • Ray framework experience
  • Familiarity with MongoDB and gRPC
  • CI/CD and DevSecOps experience (GitHub Actions, Gitlab Pipelines)
  • Familiarity with embedded protocols (serial, IC, Modbus), device virtualization, or microcontroller firmware
  • Strong observability experience (Datadog, Prometheus, Grafana, ELK, distributed tracing)
  • Frontend experience (TypeScript/Svelte/React) - real-time interfaces, state management, structured APIs
$210,000 - $265,000 a year
Work Arrangement

This role is based in our New York City lab, and we are in person 5 days per week. 


 
What We Offer
A competitive compensation package also includes the best in benefits:
  • Medical, dental, and vision insurance for you and your family, covered at 100%
  • Mental health and wellness support
  • Unlimited PTO and 14+ company holidays per year
  • Company-wide end-of-year shutdown, including two weeks of paid time off
  • 401K 
  • Equity
 
Disclosure
 
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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